Quantitative Finance with SAS: Apply, Analyze & Evaluate

位教师：EDUCBA

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2个模块

深入了解一个主题并学习基础知识。

12 条评论

5 小时完成

灵活的计划

自行安排学习进度

2个模块

深入了解一个主题并学习基础知识。

12 条评论

5 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Apply SAS for descriptive statistics, correlations, regressions, and variance models.
Forecast economic and financial trends using SAS procedures on real datasets.
Analyze stock indices, forex, and market risks for data-driven decision-making.

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作业

7 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有2个模块

This comprehensive course introduces learners to the practical applications of SAS in quantitative finance, combining foundational statistical concepts with advanced market data analysis.

In Module 1, learners explore the SAS environment, conduct descriptive statistics, apply T-Tests, interpret correlation, and build regression and variance models to evaluate financial data. In Module 2, participants progress to advanced applications by applying SAS procedures to economic datasets, forecasting financial trends, and analyzing real-world financial markets including the BSE Sensex and forex. By the end of this course, learners will be able to analyze financial datasets, apply SAS procedures to real-world economic and market scenarios, interpret statistical outputs accurately, and evaluate financial risks for data-driven decision-making.

This module introduces learners to the essential foundations of using SAS for quantitative finance. Participants will explore the SAS environment, apply statistical testing techniques, and interpret regression and variance models. By the end of this module, learners will be able to confidently use SAS tools to analyze financial data, evaluate relationships among variables, and apply regression modeling techniques to real-world market scenarios.

涵盖的内容

14个视频4个作业

14个视频总计122分钟

Introduction to SAS Quantitative Finance 3分钟
Installation of SAS 12分钟
SAS System & Means Procedure 4分钟
T-Test 10分钟
Practical of T-Test 11分钟
Introduction to Correlation theory 11分钟
Interpretation of SAS Output 6分钟
Correlation theory and implementation in SAS 7分钟
Introduction to Regression Modeling 12分钟
Analysis of Variance 11分钟
Regression Modeling in SAS System 11分钟
Parameter Estimates 8分钟
Example of Regression Models 8分钟
Example of Maruti vs Sensex 9分钟

4个作业总计60分钟

Getting Started with SAS 10分钟
Statistical Testing with SAS 10分钟
Regression and Variance Analysis 10分钟
Graded - Foundations of SAS in Quantitative Finance 30分钟

This module focuses on advanced applications of SAS in analyzing financial market data and economic trends. Learners will explore essential SAS procedures for handling economic datasets, interpret outputs with statistical accuracy, and apply these techniques to real-world financial data such as the BSE Sensex and foreign exchange markets. By the end of the module, participants will be equipped to evaluate economic data, interpret financial indicators, and analyze market volatility using SAS for quantitative finance.